Identification of MAG welding metal droplet transfer patterns based on features of input power

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Xiaoqing Lv, Haoyang Su
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引用次数: 0

Abstract

An experimental platform was built for simultaneous acquisition of the input and output electrical signals as well as droplet transfer images during the welding process. By analyzing the rectifier circuit of the welder, the calculation method of the instantaneous input power, the instantaneous input power envelope, and the input pulsating energy (EP) were given. The input pulsating energy was found to better characterize the dynamical change process at the output terminal upon comparison. Then, the short circuiting transfer, free transfer and mixed transfer patterns were obtained by varying the wire feeding speed and the given voltage. Based on the standard variance (SD) and coefficient of variation of the input pulsating energy (v(Ep)), the parameter variations in different transition patterns and the stability of the transition process were compared and analyzed. The results reveal that the v(Ep) was greater than 18% for short circuiting transfer and less than 9% for free transfer.
根据输入功率特征识别 MAG 焊接金属液滴传输模式
建立了一个实验平台,用于同时采集焊接过程中的输入和输出电信号以及液滴传输图像。通过分析焊机的整流电路,给出了瞬时输入功率、瞬时输入功率包络线和输入脉动能量(EP)的计算方法。通过比较发现,输入脉动能量能更好地描述输出端动态变化过程。然后,通过改变送线速度和给定电压,得到了短路传输、自由传输和混合传输模式。根据输入脉动能量(v(Ep))的标准方差(SD)和变异系数,比较分析了不同转换模式的参数变化和转换过程的稳定性。结果显示,短路传输的 v(Ep) 大于 18%,而自由传输的 v(Ep) 小于 9%。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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